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Doxastic logic

Doxastic logic is a branch of that formalizes the structure and dynamics of , using operators such as B_a \phi to represent that a believes the \phi. Unlike epistemic logic, which models and requires beliefs to be true, doxastic logic treats as non-factive, allowing agents to hold false beliefs. The term "doxastic" derives from the doxa, meaning opinion or , and the field emerged as a distinct area within to analyze the logical properties of subjective attitudes. The foundations of doxastic logic were laid by G. H. von Wright in his 1951 monograph An Essay in Modal Logic, where he introduced the terms "epistemic logic" for knowledge and "doxastic logic" for belief as extensions of alethic . This work was significantly advanced by Jaakko Hintikka in his seminal 1962 book Knowledge and Belief: An Introduction to the Logic of the Two Notions, which provided a Kripke-style possible-worlds semantics to model belief accessibility relations and distinguished belief from through axiomatic differences. Hintikka's framework portrayed beliefs as holding in all worlds compatible with an agent's information state, enabling rigorous analysis of and multi-agent interactions. Key principles in doxastic logic include the KD45 system, where axiom D ensures consistency (B_a \phi \rightarrow \neg B_a \neg \phi), axiom 4 captures positive introspection (B_a \phi \rightarrow B_a B_a \phi), and axiom 5 reflects negative introspection (\neg B_a \phi \rightarrow B_a \neg B_a \phi). These axioms correspond to serial, transitive, and accessibility relations in Kripke models, respectively, allowing beliefs to be closed under while avoiding paradoxes like deriving truth from belief alone. Doxastic logic addresses challenges such as logical omniscience—the unrealistic assumption that agents believe all entailments of their beliefs—and has influenced fields like for modeling rational agents and belief dynamics in multi-agent systems.

Introduction

Definition and Scope

Doxastic logic is a branch of modal logic that formalizes reasoning about beliefs, employing modal operators such as B \phi, interpreted as "the agent believes that \phi". The term "doxastic" derives from the Ancient Greek word doxa, meaning "belief" or "opinion". The scope of doxastic logic centers on subjective belief attitudes, which do not necessarily correspond to objective truth, allowing for the modeling of potentially false or incomplete doxastic states. This distinguishes it from logics requiring veridicality, such as those for knowledge, and emphasizes beliefs as propositional attitudes in the philosophy of mind. In epistemology, it examines properties like consistency and introspection of beliefs, providing tools to analyze justification and rationality without presupposing truth. Applications extend to agent modeling, where it represents individual or collective belief structures in multi-agent systems, aiding in the simulation of decision-making and interaction dynamics. The primary motivation for doxastic logic lies in capturing how agents reason about their own beliefs and those of others, independent of empirical verification, thus enabling the study of belief formation, revision, and higher-order attitudes in normative and descriptive frameworks. Unlike epistemic logic, which ties operators to factual knowledge, doxastic approaches permit non-factive beliefs to explore , , and group belief phenomena.

Relation to Epistemic Logic

Doxastic logic and epistemic logic both belong to the broader field of modal logics that model mental attitudes, but they differ fundamentally in their treatment of versus . In epistemic logic, the K_a \phi is factive, meaning that if an a knows \phi, then \phi must be true in the actual world (K_a \phi \rightarrow \phi). In contrast, the doxastic B_a \phi in doxastic logic does not entail truth; s can hold false beliefs, allowing the logic to capture scenarios where diverges from reality. This non-factive nature of enables doxastic logic to represent subjective attitudes that may lack evidential support or justification. Despite these differences, the two logics overlap significantly in their formal structures and applications. Both employ Kripke-style semantics with accessibility relations—epistemic relations for knowledge and doxastic relations for belief—where epistemic relations are often equivalence relations (reflexive, symmetric, transitive) for the S5 system, and doxastic relations are serial, transitive, and Euclidean for the KD45 system, supporting introspection properties. A common bridge between them is the implication that knowledge entails belief (K_a \phi \rightarrow B_a \phi), reflecting the intuition that one cannot know something without believing it. Historically, the terms "epistemic logic" and "doxastic logic" were introduced by G. H. von Wright in his 1951 work An Essay in Modal Logic, with Jaakko Hintikka's seminal 1962 book Knowledge and Belief advancing both by providing possible-worlds semantics to model and distinguish belief from knowledge. This relation has profound implications for modeling human reasoning. Epistemic logic's emphasis on truth and justification suits formal analyses of rational and distributed systems, whereas doxastic logic's allowance for partial or beliefs better accommodates psychological and decision-theoretic contexts, such as modeling uncertainty or cognitive biases without requiring veridicality. Together, they form a for analyzing attitudes ranging from strict to tentative belief, influencing fields like and .

Historical Development

Origins in Modal Logic

Doxastic logic traces its etymological roots to the ancient Greek term doxa, meaning opinion or belief, as discussed by in his works on and , where he distinguished doxa from scientific knowledge (epistēmē) as a form of rational but fallible judgment. This philosophical distinction influenced later explorations of , though formal logical treatment remained undeveloped until the medieval period. Medieval logicians advanced theories of supposition (suppositio), which analyzed how terms refer in context within syllogisms, providing early tools for understanding propositional attitudes that prefigured modern approaches to mental states. However, these ideas were not systematically applied to until the , when they converged with emerging formal logics. The formal origins of doxastic logic emerged in the and as an extension of , which initially focused on abstract notions of and possibility. Saul Kripke's development of possible worlds semantics during this era provided a foundational framework, interpreting modal operators through accessibility relations between worlds, thereby enabling rigorous modeling of epistemic and . Early modal logics treated modalities in a general, non-psychological sense, but this semantic apparatus facilitated a transition toward applying them to mental states like . This shift crystallized around 1962, when Jaakko Hintikka adapted modal techniques to formalize in his seminal work, distinguishing it from while using possible worlds to represent an agent's doxastic alternatives. Initial motivations for doxastic logic arose from the need to model incomplete information and subjective probabilities in and , where agents' beliefs about others' actions influence strategic choices. Hintikka's approach, in particular, highlighted how belief operators could capture rational under uncertainty.

Key Figures and Milestones

The development of doxastic logic began with G.H. von Wright's 1951 monograph An Essay in Modal Logic, which introduced the terms "epistemic logic" for and "doxastic logic" for belief as extensions of alethic . This was advanced in the by Jaakko Hintikka's seminal 1962 Knowledge and Belief: An Introduction to the Logic of the Two Notions, which introduced belief operators within a possible-worlds framework, distinguishing them from knowledge operators and laying the groundwork for formal analysis of . This work formalized belief as a operator, enabling rigorous study of properties like positive and negative in idealized agents. In the 1980s, Richmond H. Thomason addressed key paradoxes, such as those arising from self-referential beliefs analogous to the , highlighting limitations in assuming logical omniscience for belief systems, while others extended doxastic frameworks to multi-agent settings. These contributions, including explorations of belief consistency in group contexts, paved the way for handling distributed reasoning about others' beliefs. Major milestones include the 1960s formalization of basic doxastic systems inspired by , the 1980s refinements of axiomatic structures—such as Wolfgang Lenzen's critiques and proposals for adjusted belief axioms to avoid paradoxes like the —and the 1990s integration with dynamic logics, exemplified by Ronald Fagin, Joseph Y. Halpern, Moshe Y. Vardi, and Yoram Moses's Reasoning About Knowledge (1995), which incorporated into multi-agent epistemic models. As of 2025, ongoing developments emphasize applications in ethics and , with recent works (as of 2024) exploring an ethics of belief, including doxastic wronging by and of as epistemic authorities, alongside probabilistic doxastic logics to model uncertain s in autonomous systems for . These advances address real-world scenarios like -mediated norm compliance and cognitive agent interactions.

Formal Framework

Syntax and Language

Doxastic logic builds upon the foundation of classical propositional logic, utilizing a set of atomic propositions, typically denoted as p, q, [r](/page/R), \dots, which represent basic declarative statements. These are combined using standard connectives: \neg, \wedge, disjunction \vee, material \rightarrow, and biconditional \leftrightarrow. This propositional base allows for the construction of compound formulas without modal elements, such as p \wedge q or \neg (p \rightarrow [r](/page/R)). The distinctive feature of doxastic logic is the introduction of a modal operator B, which applies to any \phi to form B\phi, interpreted as "the believes \phi." This operator enables the expression of s about propositions and can be nested to represent higher-order beliefs, such as BB\phi (the believes that they believe \phi) or B(\neg Bp) (the believes they do not believe p). In multi-agent settings, the operator may be indexed by agents, as in B_a \phi for agent a's belief in \phi, though single-agent formulations often omit the subscript. The full language of doxastic logic is defined recursively, ensuring closure under the propositional connectives and the belief operator. Specifically, the set of formulas \mathcal{L} is the smallest set such that: (1) every atomic p is in \mathcal{L}; (2) if \phi \in \mathcal{L}, then \neg \phi \in \mathcal{L}; (3) if \phi, \psi \in \mathcal{L}, then (\phi \wedge \psi), (\phi \vee \psi), (\phi \rightarrow \psi), (\phi \leftrightarrow \psi) \in \mathcal{L}; and (4) if \phi \in \mathcal{L}, then B\phi \in \mathcal{L}. This recursive structure permits arbitrarily complex expressions, including nested modalities, and the language is interpreted semantically in models detailed elsewhere. Examples of well-formed formulas include Bp, expressing that the agent believes the atomic p, and more complex instances like B(p \rightarrow q) \rightarrow (Bp \rightarrow Bq), which illustrates the distribution property over (though its validity depends on the chosen ). Such formulas capture the inferential structure of beliefs while adhering strictly to the syntactic rules.

Kripke Semantics

Kripke semantics provides a model-theoretic for doxastic logic using possible worlds frameworks, where beliefs are represented as necessities relative to an agent's accessible worlds. A Kripke structure for doxastic logic is a M = (W, \{R_a\}_{a \in A}, V), where W is a nonempty set of possible worlds, A is a nonempty set of agents, each R_a \subseteq W \times W is an accessibility relation for agent a (not necessarily reflexive, transitive, or symmetric), and V: \text{Prop} \to 2^W is a valuation assigning to each letter the set of worlds where it is true. This setup extends the general for , originally developed by , to model by interpreting belief operators over agent-specific relations. The truth definition for the belief operator B_a \phi at a world w \in W in model M, denoted M, w \models B_a \phi, holds \phi is true in every world accessible from w via R_a; that is, for all v \in W such that w R_a v, M, v \models \phi. This captures as truth in all doxastically accessible worlds, distinguishing it from factual truth (which requires M, w \models \phi) and allowing for false beliefs since R_a need not include the actual world w itself. For atomic propositions p, M, w \models p w \in V(p); the definition extends to Boolean connectives in the standard way and to other modalities recursively. Frame conditions on R_a correspond to specific doxastic properties. Positive introspection, expressed semantically as the validity of B_a \phi \to B_a B_a \phi, requires R_a to be transitive: if w R_a v and v R_a u, then w R_a u. Negative introspection, corresponding to \neg B_a \phi \to B_a \neg B_a \phi, requires the Euclidean property: if w R_a v and w R_a u, then v R_a u. These conditions tailor the frames to idealized rational beliefs, though basic doxastic systems like KD impose only seriality (for every w, there exists v with w R_a v) to ensure consistency. The semantics ensures soundness for basic doxastic systems: if a formula is a syntactic theorem in the logic (e.g., derived from axioms and ), it is valid in all corresponding Kripke models, meaning true in every world of every satisfying the relevant conditions. For instance, the KD45 system for doxastic logic is (and complete) with respect to serial, transitive, and frames, aligning semantic entailment—where \models \psi if M, w \models \psi for all models M and worlds w—with syntactic provability. This correspondence theorem underpins the adequacy of for reasoning about belief structures.

Axiomatic Systems

Core Axioms

Doxastic logic's core axioms provide the minimal framework for formalizing using the B, forming what is known as system K in the doxastic setting. This system extends classical propositional logic with modal principles that ensure beliefs behave as a normal modal , capturing basic rational closure properties without assuming truth or perfect . These axioms are justified semantically through Kripke models where the accessibility relation represents an agent's belief alternatives, with no structural constraints in the minimal case. The foundational components include the doxastic tautologies, which comprise all substitution instances of classical propositional tautologies in the extended . For instance, schemas like B\phi \to B\phi or \neg B\phi \lor B\phi hold, ensuring that beliefs preserve the validity of propositional truths regardless of their content. This guarantees that the logic of is propositionally sound and that trivial equivalences carry over under the operator. A central is the distribution axiom (K axiom):
B(\phi \to \psi) \to (B\phi \to B\psi).
This principle encodes the closure of under known implications: if an believes \phi implies \psi, and believes \phi, then the must believe \psi. It reflects an idealization of rational in formation, preventing arbitrary gaps in inferential reasoning.
Complementing the axioms is the necessitation rule: if \vdash \phi, then \vdash B\phi. This rule stipulates that all logical truths are believed, aligning with the assumption of logical in idealized s who accept the consequences of valid inferences. Together with (from \phi and \phi \to \psi, infer \psi), these elements generate the theorems of the system. Unlike epistemic logics for , core doxastic logic does not standardly include factivity (B\phi \to \phi), as beliefs may be false; however, a weak condition \neg B\bot (or equivalently B\phi \to \neg B\neg\phi) is optionally added to rule out believing contradictions, corresponding to seriality in . These core elements enable derivations of further belief closures. For example, the over B(\phi \land \psi) \to B\phi (and similarly for B\psi) follows from the axioms and rules. To sketch the proof: since \vdash (\phi \land \psi) \to \phi, necessitation yields \vdash B((\phi \land \psi) \to \phi). The axiom then gives \vdash B((\phi \land \psi) \to \phi) \to (B(\phi \land \psi) \to B\phi). Assuming B(\phi \land \psi), two applications of yield B\phi. This derivation illustrates how the core axioms enforce deductive coherence without additional premises.

Standard Doxastic Logics

Standard doxastic logics extend the minimal axiomatic systems for operators by incorporating principles of , yielding complete characterizations of idealized states. The most prominent among these is the KD45 system, which builds upon the core axioms of (K) and (D) by adding axioms for positive (Bφ → BBφ) and negative (¬Bφ → B¬Bφ). This framework models as a consistent, introspectively aware that an holds toward propositions, without requiring that beliefs be factive. The semantic properties corresponding to KD45 arise from Kripke frames where the accessibility relation is (ensuring consistency via the D axiom), transitive (from the 4 axiom), and Euclidean (from the 5 axiom). These properties capture plausible aspects of , such as closure under and of one's doxastic states, making KD45 the dominant formalization for non-factive in single-agent settings. The system is sound and complete with respect to the class of such , as established through standard techniques. An alternative system, KT45, modifies KD45 by incorporating the truth axiom (T: Bφ → φ), which enforces factivity and corresponds to reflexive accessibility relations. This variant is suitable for modeling "stable" or factive , where an agent's implies the truth of the , though it diverges from the standard non-factive conception in doxastic logic. Both KD45 and KT45 achieve relative to their respective semantic classes, with KT45 validating equivalence relations (reflexive, transitive, Euclidean) that align more closely with operators in epistemic logic. The full Hilbert-style axiomatization for KD45 consists of axioms and inference rules: Axioms:
  • All propositional tautologies.
  • K: B(\phi \to \psi) \to (B\phi \to B\psi)
  • D: \neg (B\phi \land B\neg\phi)
  • 4: B\phi \to BB\phi
  • 5: \neg B\phi \to B\neg B\phi
Inference Rules:
  • Modus Ponens: From \phi and \phi \to \psi, infer \psi.
  • Necessitation: From \phi, infer B\phi.
  • Uniform Substitution: Replace propositional variables uniformly.
This presentation ensures deductive closure under belief, facilitating derivations of introspective properties.

Core Concepts

Belief Operators

In doxastic logic, the primary modal operator for belief is denoted B_a \phi, where a represents a specific agent and \phi is a proposition in the language, signifying that agent a believes \phi. This notation formalizes the agent's doxastic attitude toward the proposition. The operator originates from Jaakko Hintikka's foundational treatment of belief as a modal concept distinct from knowledge. The interpretation of B_a \phi captures the agent's subjective commitment to \phi, emphasizing personal conviction rather than objective truth. Unlike knowledge operators, belief permits falsehoods, allowing formulas such as B_a \phi \wedge \neg \phi to hold without , which models fallible human reasoning. This feature distinguishes doxastic logic from epistemic logic, enabling analysis of errors in belief formation. In multi-agent frameworks, the extends to interactions among , with notations like B_a^i \phi denoting a's i-th order in \phi, facilitating reasoning about distributed doxastic states. Nesting of operators further enriches expressivity; for instance, B_a (B_a \phi) expresses a's meta- about their own in \phi, allowing formalization of reflective attitudes. An illustrative application appears in decision theory, where conditional belief operators like B_a (p \mid e) represent agent a's belief in proposition p given evidence e, informing rational choice under uncertainty.

Introspection and Rationality

In doxastic logic, introspection refers to the agent's reflexive awareness of their own beliefs, formalized through specific axioms that capture rational belief formation. Positive introspection, expressed as the axiom B\phi \to BB\phi, posits that if an agent believes a proposition \phi, then they also believe that they believe \phi. This principle assumes an agent's beliefs are self-transparent in a positive sense, ensuring no "forgotten" beliefs within their doxastic state. Negative introspection complements this by addressing the agent's awareness of disbeliefs, given by the axiom \neg B\phi \to B\neg B\phi. Here, if the agent does not believe \phi, they believe that they do not believe \phi, preventing unaware gaps or blind spots in their belief structure. Together, these axioms characterize highly agents, as seen in the standard KD45 system for doxastic logic. A key aspect of in doxastic logic involves the closure of belief sets under , where if an agent believes \phi and \phi \to \psi is a , then the agent believes \psi (i.e., B\phi, \phi \to \psi \vdash B\psi). This property ensures that beliefs form a deductively , promoting by incorporating all inferable propositions without arbitrary omissions. These introspective and closure properties collectively define rational belief structures, maintaining consistency and completeness in the agent's doxastic commitments while avoiding incoherent or incomplete reasoning.

Agent Models

Types of Reasoners

In doxastic logic, agents are often modeled as standard reasoners whose belief structures satisfy the KD45 axioms, featuring serial (D: no contradictions in belief), transitive (4: positive ), and Euclidean (5: negative ) accessibility relations in . This framework assumes that beliefs are consistent and fully introspective, allowing the agent to reflect on what it believes and what it does not, without requiring beliefs to correspond to truth. Reasoners can further be classified as static or dynamic based on how their beliefs evolve. Static reasoners maintain fixed belief sets over time, capturing a snapshot of doxastic states without accounting for external inputs or revisions, as in classical Kripke models where relations remain unchanged. In contrast, dynamic reasoners update their s in response to new evidence, such as announcements or observations, using mechanisms like action models in dynamic doxastic logic to revise relations and incorporate informational flow. A key distinction exists between ideal and realistic reasoners, reflecting assumptions about cognitive capacities. Ideal reasoners are logically , closing their beliefs under all logical consequences and assuming perfect , which aligns with the unbounded of KD45 models but leads to unrealistic expectations of infinite deductive power. Realistic reasoners, however, operate with bounded resources, permitting partial beliefs that lack full under and may incorporate probabilistic elements to model or limited steps, as addressed in resource-sensitive semantics. This approach mitigates issues like logical omniscience by restricting beliefs to cognitively feasible derivations. An illustrative example of a realistic reasoner is one that believes only direct evidence without closure under logical consequence, such as an agent who accepts observed facts (e.g., a visible event) as beliefs but fails to infer further implications due to cognitive limits, akin to bounded models where deduction halts at resource exhaustion. This contrasts with ideal agents and highlights introspection properties like partial positive introspection, where the reasoner is aware of some but not all belief implications.

Levels of Rationality

In doxastic logic, levels of rationality are formalized through a of axiomatic systems that progressively incorporate properties of consistency, , and , reflecting increasing cognitive sophistication in an agent's structure. At the base, Level 0 corresponds to the basic system , introducing the doxastic operator with the distribution axiom but without further constraints on . Level 1 introduces the basic doxastic operator in the KD system, axiomatized by the distribution K (B(\phi \to \psi) \to (B\phi \to B\psi)) and the consistency D (\neg (B\phi \land B\neg\phi)), ensuring beliefs are logically closed and free of contradictions, but without self-reflective properties. Higher levels build upon this foundation by adding introspective : Level 2 corresponds to KD4, incorporating positive via 4 (B\phi \to BB\phi), where agents believe their own beliefs; Level 3 achieves KD45 by further including negative via 5 (\neg B\phi \to B\neg B\phi), modeling stable, fully self-aware belief states that equate to idealized . This progression validates increasingly complex belief schemas, with each level corresponding to greater validity of nested formulas, up to the hierarchy required for mutual or , where agents hold beliefs about others' beliefs . Aumann's agreeing to disagree theorem serves as a foundational benchmark for at the level, proving that two agents with common priors cannot maintain differing posterior beliefs if there is common in each other's Bayesian , implying convergence under full introspective hierarchy. These levels align with categorical types of reasoners, such as standard Bayesian agents at higher tiers exhibiting introspective closure.

Paradoxes and Challenges

Self-Fulfilling Beliefs

In doxastic logic, self-fulfilling beliefs describe scenarios where an agent's in a proposition φ, denoted as Bφ, causally influences external conditions or actions such that φ becomes true. This phenomenon challenges traditional epistemic assumptions by reversing the typical , where beliefs conform to reality rather than merely reflecting it; instead, the belief actively shapes the world to match its content. The originates from sociological observations but has been formalized within doxastic frameworks to analyze how individual or collective beliefs propagate through interactions. A prominent example is Merton's analysis of economic prophecies, such as a of a bank's that prompts depositors to withdraw funds en masse, thereby causing the bank's actual failure. In doxastic terms, this involves multiple agents holding the belief B(), which triggers actions like withdrawals that realize the . This illustrates how shared beliefs can create cascading effects in social systems, particularly in financial contexts where amplifies individual convictions. Logical modeling of self-fulfilling beliefs often employs dynamic doxastic logic, extending static belief operators with dynamic modalities Bφ to capture post-action belief states, where action a arises from the initial belief Bφ and alters the model to verify φ. For instance, in scenarios involving communication, a false belief announced publicly can update the epistemic model such that the belief becomes true across agents' accessibility relations, as seen in analyses of rumor propagation. Such models use Kripke structures with relational updates to represent how belief-driven actions, like coordinated withdrawals, enforce the truth of φ. Key challenges in these models include distinguishing genuinely causal influences of s from mere correlations, as the logical framework must specify mechanisms (e.g., via action preconditions) to avoid conflating belief with coincidental outcomes. for self-fulfilling beliefs often underdetermines appropriate , complicating rational deliberation without circular . These issues highlight the need for precise causal embeddings in dynamic extensions of doxastic logic.

Inconsistencies in Belief Stability

In doxastic logic, a notable paradox arises when an agent believes in the stability of their own belief set, leading to self-undermining inconsistencies. Specifically, if an agent holds the belief that their doxastic state remains unchanged under typical informational updates—formalized as believing the equivalence B(\forall \phi (B\phi \leftrightarrow B B\phi)), reflecting positive introspection over all propositions—this belief can trigger a revision process that alters the belief set, thereby contradicting the assumed stability. This core paradox is particularly evident in the standard KD45 system for doxastic logic, where the belief operator B satisfies the axioms of positive (B\phi \to B B\phi) and negative (\neg B\phi \to B \neg B\phi), along with seriality (B\phi \to \Diamond B\phi) ensuring . In such systems, assuming B(\text{stability})—where stability denotes invariance under updates like public announcements or conditional learning—implies that upon incorporating new information consistent with the current set, the agent's introspective closure forces a reevaluation, resulting in \neg \text{stability}. For instance, dynamic extensions of KD45, such as those incorporating operators, demonstrate that self-referential in stability propagates through higher-order beliefs, destabilizing the original set under even minimal updates. Resolution attempts often involve adopting weaker doxastic logics that relax full , such as KD logics without the 5 (negative introspection), allowing agents to maintain stable beliefs without inevitable . These weaker systems permit partial of one's doxastic state, avoiding the accessibility relations in Kripke models that enforce the paradox's propagation. Hannes Leitgeb's of belief further supports this by linking all-or-nothing beliefs to probabilistic degrees within stable threshold ranges, ensuring doxastic states resist minor perturbations without requiring perfect . A philosophical example of such inconsistencies appears in W.V.O. Quine's critique of analyticity, where beliefs in the stability of analytic truths—supposedly immune to empirical revision—are undermined by holistic revisability. Quine argues that no , including those deemed analytic, holds absolute stability within the "web of belief," as adjustments to maintain overall can shift even foundational doxastic commitments, echoing doxastic instability under scrutiny.

Other Doxastic Paradoxes

One prominent paradox in doxastic logic is Moore's paradox, which highlights the infelicity of asserting a p while simultaneously denying one's in it, as in the statement "p \wedge \neg Bp", where B denotes the . For example, uttering "It is raining, but I do not believe that it is raining" appears absurd or irrational, even if p is true, because it violates norms of coherence and . This paradox challenges standard doxastic logics by suggesting that such conjunctions cannot be rationally believed or asserted, prompting analyses that link it to principles like positive (Bp \to BBp) and negative (\neg Bp \to B\neg Bp). Another class of paradoxes arises from self-referential beliefs, analogous to the in truth theory, where a like "I believe this is false" (B(\neg B \phi) where \phi is self-referential) generates infinite loops or contradictions under belief operators. In doxastic systems, assuming the agent believes the leads to believing its , and vice versa, undermining closure under and highlighting issues with in attitudinal logics. These paradoxes demonstrate that belief attitudes, unlike truth predicates, resist straightforward self-application without violating coherence in modal frameworks. In doxastic systems, such as those incorporating KD45 axioms, Moorean and self-referential paradoxes reveal derivability issues, where principles force the derivation of contradictory or force rejection of certain introspective axioms to maintain . For instance, deriving B(p \wedge \neg Bp) from weaker assumptions leads to , illustrating how these paradoxes test the boundaries of beyond simple . Recent developments in probabilistic doxastic logics, particularly for modeling in systems, have extended these challenges to scenarios like the lottery paradox, where an agent rationally assigns high probability to each ticket losing but low probability to all losing, conflicting with probabilistic belief aggregation rules. This arises in applications for decision-making under , where Bayesian updates fail to preserve across multiple low-probability events, prompting logics to resolve such inconsistencies.

Applications and Extensions

Philosophical Applications

Doxastic logic plays a significant role in by providing formal models for analyzing Gettier problems, which arise when justified true fail to constitute due to elements of luck or false intermediate . In these models, are represented as propositions true in all doxastically accessible possible worlds from the 's perspective, allowing for the distinction between justified false and the resulting true that lack the necessity for . For instance, in a Gettier case, an may hold a justified false that leads to a true disjunctive , but the is not because there exists a doxastically accessible world where the disjunction is false, highlighting the gap between appearance and reality in doxastic accessibility relations. In the philosophy of action, doxastic logic formalizes the role of beliefs as essential premises in practical reasoning, particularly within Michael Bratman's planning theory of intention. Bratman's framework treats intentions as components of partial plans that organize future-directed conduct, where beliefs about the world and one's abilities serve as inputs to evaluate plan feasibility and conduct means-ends reasoning. Doxastic operators model these belief commitments, enabling analysis of how agents revise plans based on updated doxastic states while maintaining in intentional structures, thus refining Bratman's account of over time. Doxastic logic contributes to the by representing folk psychology through nested belief operators, which capture higher-order attitudes such as an 's belief about another's belief. In simulation theory of mindreading, central to folk psychological explanations, s ascribe nested beliefs (e.g., B_a B_b p, where a believes that b believes p) by simulating others' doxastic states using their own cognitive resources, facilitating interpersonal understanding without requiring a full of mental states. This formalization underscores how doxastic logic structures the of beliefs in everyday mental ascriptions, aligning with folk psychological practices of explaining behavior via propositional attitudes. Ongoing philosophical debates utilize doxastic logic to explore versus in ascription, questioning whether beliefs are robust representational states or merely useful tools for prediction and explanation. Realists argue that doxastic models commit to s as real, mind-independent attitudes that accurately describe , while instrumentalists view ascriptions as pragmatic instruments for behavioral forecasting, downplaying their ontological status.

Computational and Dynamic Extensions

Dynamic doxastic logic (DDL) extends standard doxastic logic by incorporating dynamic operators that model how beliefs evolve in response to events or actions. Introduced in the , DDL uses modalities such as [E]B\phi, where E represents an event and B\phi denotes the belief that \phi, to capture belief updates after the occurrence of E. This framework allows for the formalization of in dynamic environments, addressing how agents adjust their doxastic states based on new information or announcements. In , particularly multi-agent systems, doxastic logic integrates with belief-desire-intention (BDI) models to represent agents' mental states. BDI architectures, formalized using doxastic operators for beliefs alongside modalities for desires and intentions, enable reasoning about rational agency in complex interactions. Seminal work by and Georgeff established BDI logics as extensions of temporal and doxastic logics, supporting decision procedures for verifying agent behaviors in distributed settings. These models have been widely adopted in agent-oriented programming, facilitating applications in and automated planning where agents must coordinate based on shared or evolving beliefs. Belief revision in doxastic logic draws from the AGM framework, which postulates postulates for and operations on belief sets to maintain . Integration of AGM-style revision with doxastic operators allows for dynamic updates that preserve logical properties like KD45 axioms for s. This combination enables precise modeling of how agents retract or incorporate propositions without leading to trivial belief states, as explored in dynamic epistemic logics incorporating doxastic elements. As of 2025, doxastic and dynamic extensions find application in explainable , particularly for tracing changes in large language models (LLMs). Researchers employ mechanisms inspired by doxastic logic to analyze how LLMs adapt internal representations to new inputs, enhancing in outputs. For instance, evaluating LLMs' adaptability reveals gaps in , informing techniques to mitigate hallucinations by simulating doxastic updates. This approach supports auditing decision processes, aligning model behaviors with rational dynamics in interactive systems.

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